Kaijun Ma
Impact in
- Insect Science top 5%
- Forensic Entomology and Diptera Studies
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Molecular Biology Techniques and Applications 6
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- Forensic Entomology and Diptera Studies 9
- Co-authors
- Yehui Lv (9 shared papers)Heng Zhang (7 shared papers)Jianlong Ma (14 shared papers)Long Chen (9 shared papers)Yan Zeng (8 shared papers)Long Chen (5 shared papers)Xiao Bi (13 shared papers)Tao Li (6 shared papers)
In The Last Decade
Kaijun Ma
52 papers receiving 728 citations
Kaijun Ma's Hit Papers
Peers
Comparison fields: 5 of 120
- Insect Science 183
- Cancer Research 128
- Emergency Medicine 59
- Biophysics 26
- Genetics 115
Countries citing papers authored by Kaijun Ma
This map shows the geographic impact of Kaijun Ma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kaijun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaijun Ma more than expected).
Fields of papers citing papers by Kaijun Ma
This network shows the impact of papers produced by Kaijun Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kaijun Ma. The network helps show where Kaijun Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaijun Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 64 | |
| 2 | 2016 | 46 | |
| 3 | 2014 | 42 | |
| 4 | 2016 | 39 | |
| 5 | 2015 | 38 | |
| 6 | 2020 | 36 | |
| 7 | 2016 | 35 | |
| 8 | 2016 | 32 | |
| 9 | 2019 | 32 | |
| 10 | 2012 | 29 | |
| 11 | 2024 | 25 | |
| 12 | Single-nucleus RNA sequencing and machine learning identify CACNA1A as a myocyte-specific biomarker for sudden unexplained death in schizophrenia Hit paper breakdown → | 2025 | 23 |
| 13 | 2021 | 19 | |
| 14 | 2015 | 18 | |
| 15 | 2020 | 16 | |
| 16 | 2018 | 15 | |
| 17 | 2017 | 14 | |
| 18 | 2021 | 13 | |
| 19 | 2021 | 13 | |
| 20 | 2018 | 13 |
About Kaijun Ma
Kaijun Ma is a scholar working on Molecular Biology, Insect Science, Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health and Emergency Medicine, having authored 57 papers that have together received 742 indexed citations. Recurring topics across this work include Forensic Entomology and Diptera Studies (9 papers), Autopsy Techniques and Outcomes (8 papers), Injury Epidemiology and Prevention (6 papers), Molecular Biology Techniques and Applications (6 papers), Forensic Anthropology and Bioarchaeology Studies (4 papers), MicroRNA in disease regulation (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Forensic and Genetic Research (3 papers). The work is most often cited by research in Insect Science (183 citations), Cancer Research (128 citations), Emergency Medicine (59 citations), Biophysics (26 citations) and Genetics (115 citations). Kaijun Ma has collaborated with scholars based in China, Portugal and Taiwan. Frequent co-authors include Yehui Lv, Heng Zhang, Jianlong Ma, Long Chen, Yan Zeng, Long Chen, Xiao Bi, Tao Li, Ping Zhang and Liliang Li. Their work appears in journals such as International Journal of Legal Medicine, Forensic Science International, Legal Medicine, Science & Justice and Journal of Forensic and Legal Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.